Artificial Intelligence has become an integral part of the Technology revolution amidst widespread usage touching our daily lives. With an amalgamation of Machine Learning, Deep learning algorithms, natural language processing & Neural networks, it has been instrumental in automating routine tasks, enhancing productivity, analytics and research. AI mimics human decision-making through rule-based algorithms, training with large amounts of  data, which became readily available post the advent of Internet. In the past couple of years, AI has made exponential progress and impact in domains like Finance, Healthcare, autonomous systems and predictive analytics.

Artificial Intelligence is supported by data centres which are specialised facilities meant for heavy computing, high speed networking and innovative cooling, making them the backbone of large-scale AI training and inference or regular usage. The number of such data centres is seeing a rapid expansion driven by massive investments and government incentives. 

The four essential components to keep an AI data centre running are compute, storage, power and cooling. These four components consume minerals, energy,  water and have a direct impact on our Environment, depleting natural resources and increasing carbon emissions.

Compute & StorageArtificial Intelligence requires massive computational power, both for training the models and inference or daily use, which is provided by high computing servers. The boom in building large AI data centres or AI factories has created a spiraling requirement for processors, memory and supporting hardware. Supply of microchips has........

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